SuperLotto Plus Results
On Wednesday night, May 13, 2026, the SuperLotto Plus draw in California produced a notable return: 07 14 30 31 46 after days of absence. Against an expected cadence of 1 in 1,533,939 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Winning numbers for 1 draw on May 13, 2026 in California.
Draw times: Evening.
Our take on the SuperLotto Plus results
May 13, 2026SuperLotto Plus report — Wednesday night, May 13, 2026: 07 14 30 31 46 shows a notable pattern
On Wednesday night, May 13, 2026, the SuperLotto Plus draw in California produced a notable return: 07 14 30 31 46 after days of absence. Against an expected cadence of 1 in 1,533,939 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Overview
On Wednesday night, May 13, 2026, the SuperLotto Plus draw in California produced a notable return: 07 14 30 31 46 after days of absence. Against an expected cadence of 1 in 1,533,939 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Combo Profile
Beyond the drought, the numbers show a clean structure: 5 distinct numbers with no repeats, spanning 7 to 46 (wide spread).
Why Droughts Matter
Droughts do not indicate what will happen next - they simply document what has already occurred. Their value lies in measuring distribution over long horizons and identifying when a combination performs far above or below its expected appearance rate.
Data Notes
Results are evaluated against historical frequency baselines where available. The goal is documentation and context rather than prediction.
From Stepzero
Stepzero produces these reports to provide a calm, evidence-first record of how draw patterns unfold over time. The aim is clarity and continuity - a reference point for long-horizon tracking rather than a call to action.
Additional Context
Long-horizon tracking is the only reliable way to separate short-term noise from persistent drift. By logging each outcome against its expected cadence, the system builds a distribution profile that becomes more stable as the sample grows. Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges.
Adding to the Long-Term Record
Over the long run, this entry extends the historical ledger by one more data point. The accumulation, not any single draw, builds reliability.